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Titlebook: Advances in Energy Technology; Select Proceedings o Ramesh C. Bansal,Anshul Agarwal,Vinay Kumar Jadoun Conference proceedings 2022 The Edit

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期刊全称Advances in Energy Technology
期刊简称Select Proceedings o
影响因子2023Ramesh C. Bansal,Anshul Agarwal,Vinay Kumar Jadoun
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发行地址Presents select proceedings of EMSME 2020.Covers topics such as clean materials, solar energy systems, wind energy systems, power optimization, grid integration of renewable energy.Is useful for resea
学科分类Lecture Notes in Electrical Engineering
图书封面Titlebook: Advances in Energy Technology; Select Proceedings o Ramesh C. Bansal,Anshul Agarwal,Vinay Kumar Jadoun Conference proceedings 2022 The Edit
影响因子This book presents select proceedings of International Conference on Energy, Material Sciences and Mechanical Engineering (EMSME) 2020, held at National Institute of Technology Delhi. Various topics covered in this book include clean materials, solar energy systems, wind energy systems, power optimization, grid integration of renewable energy, smart energy storage technologies, artificial intelligence in solar and wind system, analysis of clean energy material in environment, converter topology, modelling and simulation. This book will be useful for researchers and professionals working in the areas of solar material science, electrical engineering, and energy technologies.
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书目名称Advances in Energy Technology网络公开度学科排名




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书目名称Advances in Energy Technology被引频次学科排名




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书目名称Advances in Energy Technology年度引用学科排名




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1876-1100 l be useful for researchers and professionals working in the areas of solar material science, electrical engineering, and energy technologies.978-981-16-1478-1978-981-16-1476-7Series ISSN 1876-1100 Series E-ISSN 1876-1119
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Concepts in Surgery of the Large Intestine extensively analysed, and the analyses is presented in a critical manner. The advantages and drawbacks associated with each method have been discussed. The effectiveness of each method has been scrutinized by assessing them wrt various performance parameters. Finally, relevant conclusions have been
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Laparoscopic Nissen Fundoplication,ity for identifying and recognizing faces which are surgically altered. Recognition is done by introducing a simple CNN for facial trait extraction which is followed by performing the classification task. Plastic surgery facial dataset is used for training, testing and validating the proposed deep n
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